数据集与基准论文趋势 2023–2026

主要结论

• 数据集与基准论文从 2023 年的 937 篇增长到 2026 年的 1,991 篇，三年间扩大到约 2.1 倍。
• NeurIPS 是发数据集与基准论文最多的会议，2023–2026 年共 1,935 篇，占四个会议总量的 33%。
• 交叉方向里涨得最快的是AI 智能体：同时属于两个主题的论文从 2023 年的 8 篇增至 2026 年的 194 篇。
• 在「效率与系统」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的硬件协同是 4.4 倍，数据集与基准是 2.1 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026A Surrogate Perspective on Convergence of Fixed-Target DQN
• ICML 2026$\mu$pscaling small models: Principled warm starts and hyperparameter transfer
• ICLR 2026**TandemFoilSet**: Datasets for Flow Field Prediction of Tandem-Airfoil Through the Reuse of Single Airfoils
• CVPR 20264DEquine Disentangling Motion and Appearance for 4D Equine Reconstruction from
• NeurIPS 2025A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design
• ICML 2025Active Evaluation Acquisition for Efficient LLM Benchmarking
• ICLR 2025$F^3Set$: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos
• CVPR 20253D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
• NeurIPS 2024A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions
• ICML 2024A connection between Tempering and Entropic Mirror Descent
• ICLR 2024A Benchmark Study on Calibration
• CVPR 2024Data Valuation and Detections in Federated Learning
• NeurIPS 2023$\mathbf{\mathbb{E}^{FWI}}$: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties
• ICML 2023A Picture of the Space of Typical Learnable Tasks
• ICLR 2023$\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells
• CVPR 2023A Bag-of-Prototypes Representation for Dataset-Level Applications
• NeurIPS 2026A Theoretical Bridge Between Long-Tailed Recognition and Continual Learning
• ICML 2026A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation
• ICLR 2026A Fictional Q&A Dataset for Studying Memorization and Knowledge Acquisition
• CVPR 2026Advancing Cancer Prognosis with Hierarchical Fusion of Genomic Proteomic and

全部数据集与基准论文

共 1,346 篇，第 18 / 27 页

851. ICML 2024SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets
852. ICML 2024SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic
853. ICML 2024Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network
854. ICML 2024Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
855. ICML 2024Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks
856. ICML 2024SMaRt: Improving GANs with Score Matching Regularity
857. ICML 2024Soft Prompt Recovers Compressed LLMs, Transferably
858. ICML 2024Sparse and Structured Hopfield Networks
859. ICML 2024Sparsest Models Elude Pruning: An Exposé of Pruning’s Current Capabilities
860. ICML 2024Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting
861. ICML 2024Statistical Inference Under Constrained Selection Bias
862. ICML 2024StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization
863. ICML 2024Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
864. ICML 2024Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models
865. ICML 2024Tell, Don't Show: Language Guidance Eases Transfer Across Domains in Images and Videos
866. ICML 2024The Entropy Enigma: Success and Failure of Entropy Minimization
867. ICML 2024The Fundamental Limits of Least-Privilege Learning
868. ICML 2024The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning
869. ICML 2024Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability
870. ICML 2024Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration
871. ICML 2024Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
872. ICML 2024tinyBenchmarks: evaluating LLMs with fewer examples
873. ICML 2024Total Variation Distance Meets Probabilistic Inference
874. ICML 2024Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention
875. ICML 2024Towards Compositionality in Concept Learning
876. ICML 2024Towards Efficient Training and Evaluation of Robust Models against $l_0$ Bounded Adversarial Perturbations
877. ICML 2024Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation
878. ICML 2024Towards Modular LLMs by Building and Reusing a Library of LoRAs
879. ICML 2024Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error
880. ICML 2024Towards Scalable and Versatile Weight Space Learning
881. ICML 2024Trained Random Forests Completely Reveal your Dataset
882. ICML 2024Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
883. ICML 2024Transitional Uncertainty with Layered Intermediate Predictions
884. ICML 2024Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning
885. ICML 2024Trustless Audits without Revealing Data or Models
886. ICML 2024Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
887. ICML 2024Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias
888. ICML 2024ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback
889. ICML 2024Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations
890. ICML 2024Unveiling Privacy, Memorization, and Input Curvature Links
891. ICML 2024VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception
892. ICML 2024Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformer
893. ICML 2024Weighted distance nearest neighbor condensing
894. ICML 2024What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
895. ICML 2024What is Dataset Distillation Learning?
896. ICML 2024What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
897. ICML 2024When and How Does In-Distribution Label Help Out-of-Distribution Detection?
898. ICML 2024Winner-takes-all learners are geometry-aware conditional density estimators
899. NeurIPS 2024$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
900. NeurIPS 2024$E^3$: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset

常见问题

2023–2026 年四大会议一共有多少篇数据集与基准论文？

共 5,856 篇，按年份分别是 2023 年 937 篇、2024 年 1,346 篇、2025 年 1,582 篇、2026 年 1,991 篇。

NeurIPS 2026 有多少篇数据集与基准论文？

NeurIPS 2026 有 623 篇数据集与基准论文，上一届是 637 篇。

ICLR 2026 有多少篇数据集与基准论文？

ICLR 2026 有 635 篇数据集与基准论文，上一届是 419 篇。

ICML 2026 有多少篇数据集与基准论文？

ICML 2026 有 275 篇数据集与基准论文，上一届是 189 篇。

CVPR 2026 有多少篇数据集与基准论文？

CVPR 2026 有 458 篇数据集与基准论文，上一届是 337 篇。

哪个会议的数据集与基准论文最多？

NeurIPS，2023–2026 年共 1,935 篇。